Datasetpublic

minhhien0811/ja-current-news-keyword-sft-30k

Japanese Current-News Business Keyword SFT 30K Synthetic Japanese SFT dataset for structured keyword generation. Given one theme, the assistant returns JSON with: categories: 3-6 upper-level categories terms: 12-16 related terms each term has label and cat every cat exactly matches one item from categories Themes are current-news oriented and cover topics such as LLMs, AI policy, AI agents, economics, markets, Trump-related policy, tariffs, monetary policy, geopolitics, and… See the full description on the dataset page: https://huggingface.co/datasets/minhhien0811/ja-current-news-keyword-sft-30k.

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Dataset Card

Japanese Current-News Business Keyword SFT 30K

Synthetic Japanese SFT dataset for structured keyword generation.

Given one theme, the assistant returns JSON with:

—categories: 3-6 upper-level categories
—terms: 12-16 related terms
—each term has label and cat
—every cat exactly matches one item from categories

Themes are current-news oriented and cover topics such as LLMs, AI policy, AI agents, economics, markets, Trump-related policy, tariffs, monetary policy, geopolitics, and business risk.

Files

—sft_messages.jsonl: chat/messages format, 30,000 valid examples
—sft_alpaca.jsonl: Alpaca-style format, 30,000 valid examples
—source_30000.jsonl: generated theme source list
—raw_generations.jsonl: raw generation attempts, including failed/retried attempts for audit
—validation_summary.json: validation report

Validation

The final SFT files were validated for:

—30,000 rows
—30,000 unique IDs
—30,000 unique themes
—30,000 unique assistant JSON fingerprints
—valid JSON in every assistant output
—category count between 3 and 6
—term count between 12 and 16
—no duplicate term labels within an example
—every term cat belongs to the example's categories

Generation

Generated with Qwen/Qwen3.6-35B-A3B hosted on 8 local vLLM servers, one model replica per H100 GPU.